Abstract: A method for making a semiconductor device may include forming an isolation region adjacent an active region in a semiconductor substrate, and selectively etching the active region so that an upper surface of the active region is below an adjacent surface of the isolation region and defining a stepped edge therewith. The method may further include forming a superlattice overlying the active region. The superlattice may include stacked groups of layers, with each group of layers comprising stacked base semiconductor monolayers defining a base semiconductor portion, and at least one non-semiconductor monolayer constrained within a crystal lattice of adjacent base semiconductor portions.

Abstract: Computer vision systems and methods for image to image translation are provided. The system receives a first input image and a second input image and applies a content adversarial loss function to the first input image and the second input image to determine a disentanglement representation of the first input image and a disentanglement representation of the second input image. The system trains a network to generate at least one output image by applying a cross cycle consistency loss function to the first disentanglement representation and the second disentanglement representation to perform multimodal mapping between the first input image and the second input image.

Abstract: An electronic device includes a host, a main display, an auxiliary display, and a hinge mechanism. The auxiliary display is located between the host and the main display and includes a sliding part and a lifting part. The sliding part is slidably connected to the host. The hinge mechanism includes a first bracket, a second bracket pivotally connected to the first bracket, and a third bracket pivotally connected to the second bracket. The first bracket is secured to the host, and the second bracket is secured to the main display. The third bracket is secured to the lifting part of the auxiliary display.

Abstract: A display device includes a first display and a second display. The first display includes a first body and a first magnet disposed in the first body. The first body has a first side and a slot located at the first side. The first magnet is disposed corresponding to the slot, and the first magnet is adjacent to the first side. The second display is detachably mounted to the first display. The second display includes a second body and a magnetic hook. The second body has a second side and a recess located at the second side, and the magnetic hook is movably disposed in recess. The first side of the first body abuts against the second side of the second body, and the slot is aligned to the recess. The magnetic hook is driven by a magnetic force of the first magnet to be engaged with the slot.

Abstract: A semiconductor device includes a semiconductor substrate, a plurality of isolation structures on the semiconductor substrate, and a plurality of blocking structures disposed directly over the isolation structures. The blocking structures have a lower reflectivity than the isolation structures.

Abstract: A method and system for content display. The method includes: capturing, by an imaging device, a plurality of images of an environment; generating, by a computing device, first user profiles based on appearance of users recognized in the images; detecting devices in the environment and associating the detected devices to the users to obtain associated devices that are hold by the users; retrieving, by the computing device, second user profiles of the users based on identifications of the associated devices; selecting at least one content based on the first user profiles and the second user profiles; and displaying the at least one selected content.

Abstract: An electronic device includes a host, a driving mechanism, a main display, and an auxiliary display. The main display is connected to the host through the driving mechanism. The auxiliary display is located between the host and the main display. The auxiliary display has a pivoting end and a movable end, the pivoting end is pivotally connected to the host, and the movable end is connected to the driving mechanism. The main display is configured to be folded or unfolded with respect to the host and synchronously drive the auxiliary display to ascend or descend through the driving mechanism.

Abstract: The present invention relates to a combination of a histone deacetylase (HDAC) inhibitor, chidamide in an acidic salt form, and a nonsteroidal anti-inflammatory drugs (NSAIDs), celecoxib in a basic salt form. The present invention also relates to methods which significantly regulate tumor microenvironment and therefore dramatically improve anti-cancer activity.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for neural network architecture search.

Abstract: A semiconductor device includes a semiconductor substrate, a plurality of isolation structures on the semiconductor substrate, and a plurality of blocking structures disposed directly over the isolation structures. The blocking structures have a lower reflectivity than the isolation structures.

Abstract: The present disclosure provides a plug connector adapted to insert into a receptacle connector, the receptacle connector includes a cage having an opening. The plug connector includes a metal shell and a conductive elastic member. The metal shell is provided with a recessed groove. The conductive elastic member includes a conductive elastic body, the conductive elastic body has a holding portion held in the recessed groove and a first electromagnetic shielding portion extending out of the recessed groove from the holding portion, when the plug connector is inserted forwardly into the receptacle connector, the first electromagnetic shielding portion enters into the opening of the cage of the receptacle connector and mechanically and electrically contacts the cage and the metal shell. However, some embodiments may not include a holding portion or recessed groove.

Abstract: Apparatus and methods related to image processing are provided. A computing device can determine a first image area of an image, such as an image captured by a camera. The computing device can determine a warping mesh for the image with a first portion of the warping mesh associated with the first image area. The computing device can determine a cost function for the warping mesh by: determining first costs associated with the first portion of the warping mesh that include costs associated with face-related transformations of the first image area to correct geometric distortions. The computing device can determine an optimized mesh based on optimizing the cost function. The computing device can modify the first image area based on the optimized mesh.

Abstract: A system and method for providing unsupervised domain adaption for spatio-temporal action localization that includes receiving video data associated with a surrounding environment of a vehicle. The system and method also include completing an action localization model to model a temporal context of actions occurring within the surrounding environment of the vehicle based on the video data and completing an action adaption model to localize individuals and their actions and to classify the actions based on the video data. The system and method further include combining losses from the action localization model and the action adaption model to complete spatio-temporal action localization of individuals and actions that occur within the surrounding environment of the vehicle.

Abstract: Embodiments provide methods and apparatuses to manage hardware resource access on a mobile device comprising detecting an attempt by the first application to access the first hardware resource when the application is executing in the background and determining that there is not a policy for the first application to access the first hardware, providing a notification requesting user input thereof, and adding a new policy accordingly.

Abstract: Photorealistic image stylization concerns transferring style of a reference photo to a content photo with the constraint that the stylized photo should remain photorealistic. Examples of styles include seasons (summer, winter, etc.), weather (sunny, rainy, foggy, etc.), lighting (daytime, nighttime, etc.). A photorealistic image stylization process includes a stylization step and a smoothing step. The stylization step transfers the style of the reference photo to the content photo. A photo style transfer neural network model receives a photorealistic content image and a photorealistic style image and generates an intermediate stylized photorealistic image that includes the content of the content image modified according to the style image. A smoothing function receives the intermediate stylized photorealistic image and pixel similarity data and generates the stylized photorealistic image, ensuring spatially consistent stylizations.

Abstract: Embodiments provide methods and apparatuses to manage hardware resource access on a mobile device comprising detecting an attempt by the first application to access the first hardware resource when the application is executing in the background and determining that there is not a policy for the first application to access the first hardware, providing a notification requesting user input thereof, and adding a new policy accordingly.

Abstract: A semiconductor device may include a substrate and spaced apart first and second doped regions in the substrate. The first doped region may be larger than the second doped region to define an asymmetric channel therebetween. The semiconductor device may further include a superlattice extending between the first and second doped regions to constrain dopant therein. The superlattice may include a plurality of stacked groups of layers, with each group of layers comprising a plurality of stacked base semiconductor monolayers defining a base semiconductor portion, and at least one non-semiconductor monolayer constrained within a crystal lattice of adjacent base semiconductor portions. A gate may overly the asymmetric channel.

Abstract: A method for making a semiconductor device may include forming spaced apart first and second doped regions in a substrate. The first doped region may be larger than the second doped region to define an asymmetric channel therebetween. The method may further include forming a superlattice extending between the first and second doped regions to constrain dopant therein. The superlattice may include a plurality of stacked groups of layers, with each group of layers comprising a plurality of stacked base semiconductor monolayers defining a base semiconductor portion, and at least one non-semiconductor monolayer constrained within a crystal lattice of adjacent base semiconductor portions. The method may also include forming a gate overlying the asymmetric channel.

Abstract: A user can issue a query about a process that has a number of stages. A stage of the process is determined using the query and location data associated with the query, and a stage prediction model. A stage learning system can select a sample of query logs for a category from a database of millions or billions of users' queries. Queries can be parsed into keywords. A category can be determined from location information associated with each query and from query keywords. Queries are aligned based on location and, optionally, keywords. TF-IDF values are computed for queries and are used to determine a difference significance between aligned, adjacent queries. If aligned, adjacent queries have a substantially difference in keywords and TF-IDF, then a conversion stage is identified. Content can be presented to the user based on the category, keywords, location, and conversion stage.

Abstract: Segmentation is the identification of separate objects within an image. An example is identification of a pedestrian passing in front of a car, where the pedestrian is a first object and the car is a second object. Superpixel segmentation is the identification of regions of pixels within an object that have similar properties. An example is identification of pixel regions having a similar color, such as different articles of clothing worn by the pedestrian and different components of the car. A pixel affinity neural network (PAN) model is trained to generate pixel affinity maps for superpixel segmentation. The pixel affinity map defines the similarity of two points in space. In an embodiment, the pixel affinity map indicates a horizontal affinity and vertical affinity for each pixel in the image. The pixel affinity map is processed to identify the superpixels.